Stay ConnectedI’m Joe Reis, co-author of Fundamentals of Data Engineering, creator of Mixed Model Arts, international speaker, and long-time observer of the tech industry’s favorite recurring mistakes.
Weekly broadcasts from somewhere on the road. Expect raw solo rants and long-form conversations with the engineers and leaders actually building things. I dive into data, AI, architecture, and career survival.
This podcast is invitation-only. Unsolicited guest pitches and PR outreach are not considered.
Copyright: © Joe Reis
Colleen Fotsch is one of the highest performing (and kindest/nicest) people I know. She's a former NCAA swimmer at UC Berkley, where she was a two-time national champ, American record holder, and Olympic qualifier. She's also a multiple-time Crossfit games athlete and competed on the US National Bobsled Team, where she was supposed to go to Olympic qualifiers, but got sidelined by a tragic injury which she discusses. On top of all of this, she's a data analyst! In this show, we discuss her evolution from athlete to analyst, the gory details of being a top-level competitive athlete, and much more. If you're interested in what it takes to compete at the highest levels, you'll definitely like this episode. I'm proud to call Colleen my coach, and I'm also fortunate to mentor her in her data journey. Enjoy! Instagram: https://www.instagram.com/colleenfotsch/?hl=en YouTube: https://www.youtube.com/c/ColleenFotsch LinkedIn: https://www.linkedin.com/in/colleenfotsch/
I've spoken earlier about why I think data modeling is on life support, and if not dead, definitely a zombie. In this rant, I explore how we got here, the consequences, and what we can do to resurrect data modeling.
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Veronika Durgin joins me to chat about learning and adapting in a fast-changing world, handling vendors, and much more.
Veronika's LinkedIn: https://www.linkedin.com/in/vdurgin/
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Paul Blankley and Ryan Janssen are the co-founders of Zenlytic. They started a BI company with an LLM-first approach (back before LLM's were insanely cool). We talk about the future of BI, and how LLM's will change the face of data and analytics.
Zenlytic: https://www.zenlytic.com/
Paul's LinkedIn: https://www.linkedin.com/in/paulblankley/
Ryan's LinkedIn: https://www.linkedin.com/in/janssenryan/
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Karl "Ivo" Sokolov and I are good friends, and we chat about how he views innovation in Europe, regulations, Western and Eastern Europe, moving from services to a product, and much more. Ivo is a straight shooter, and I always enjoy chatting with him. Enjoy!
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
The word "model" is used a lot by data professionals. There are dbt models, machine learning models, relational models, and conceptual, logical, and physical models. My concern is we're missing the bigger picture of what data modeling was initially supposed to accomplish, which was to represent reality and structure it as data. The bigger implication is that our various "models" will become too myopic and miss the larger broader context of the reality of how we use data to serve our organizations.
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
George Park is a Czechia-based data engineer. We chat about automation, change management and culture, data modeling (Data Vault in particular), and much more. George lives on the front lines of helping customers, so this is a good discussion if you like to hear from a real practitioner.
George's LinkedIn: https://www.linkedin.com/in/george-park-599846136/
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
There's a rush from many countries to regulate AI. Murielle Popa-Fabre is an NLP and ML expert currently working for the Council of Europe, building an international Framework Convention on AI that will touch a wider number of countries (46) than the EU AI Act (only for EU countries). We chat about her path from academia to working in regulation, and the upcoming EU, the Council of Europe, and G7 regulations on AI. These regulations will have a historical impact on what happens next with AI, and it will be very interesting to see where things go from here. Murielle's LinkedIn: https://www.linkedin.com/in/murielle-popa-fabre-b563187b/
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Rebecca Taylor has a ton of experience with ML, having worked as lead, and senior ML engineer, and holds a PhD in Bayesian Inference. We chat about making ML succeed in larger companies. This is a skill in itself, often requiring stakeholder management and getting buy-in. If you're in a similar situation, this episode is for you!
Rebecca's LinkedIn: https://www.linkedin.com/in/rebecca-taylor-ml-ai/
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Today was pretty cool. My son just finished 6th grade, so proud parent moment. Last week, I spoke to his class about AI. It was a very fun experience and the class was extremely curious about what AI is and how it might impact their lives. In this episode, I discuss some of the things I talked about. I think the lessons apply equally well to adults.
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